Brain scans might predict future criminal behavior

Mar. 28, 2013 ? A new study conducted by The Mind Research Network in Albuquerque, N.M., shows that neuroimaging data can predict the likelihood of whether a criminal will reoffend following release from prison.

The paper, which is to be published in the Proceedings of the National Academy of Sciences, studied impulsive and antisocial behavior and centered on the anterior cingulate cortex (ACC), a portion of the brain that deals with regulating behavior and impulsivity.

The study demonstrated that inmates with relatively low anterior cingulate activity were twice as likely to reoffend than inmates with high-brain activity in this region.

"These findings have incredibly significant ramifications for the future of how our society deals with criminal justice and offenders," said Dr. Kent A. Kiehl, who was senior author on the study and is director of mobile imaging at MRN and an associate professor of psychology at the University of New Mexico. "Not only does this study give us a tool to predict which criminals may reoffend and which ones will not reoffend, it also provides a path forward for steering offenders into more effective targeted therapies to reduce the risk of future criminal activity."

The study looked at 96 adult male criminal offenders aged 20-52 who volunteered to participate in research studies. This study population was followed over a period of up to four years after inmates were released from prison.

"These results point the way toward a promising method of neuroprediction with great practical potential in the legal system," said Dr. Walter Sinnott-Armstrong, Stillman Professor of Practical Ethics in the Philosophy Department and the Kenan Institute for Ethics at Duke University, who collaborated on the study. "Much more work needs to be done, but this line of research could help to make our criminal justice system more effective."

The study used the Mind Research Network's Mobile Magnetic Resonance Imaging (MRI) System to collect neuroimaging data as the inmate volunteers completed a series of mental tests.

"People who reoffended were much more likely to have lower activity in the anterior cingulate cortices than those who had higher functioning ACCs," Kiehl said. "This means we can see on an MRI a part of the brain that might not be working correctly -- giving us a look into who is more likely to demonstrate impulsive and anti-social behavior that leads to re-arrest."

The anterior cingulate cortex of the brain is "associated with error processing, conflict monitoring, response selection, and avoidance learning," according to the paper. People who have this area of the brain damaged have been "shown to produce changes in disinhibition, apathy, and aggressiveness. Indeed, ACC-damaged patients have been classed in the 'acquired psychopathic personality' genre."

Kiehl says he is working on developing treatments that increase activity within the ACC to attempt to treat the high-risk offenders.

The four-year study was supported by grants from the National Institute on Drug Abuse (NIDA), the National Institute of Mental Health (NIMH), and pilot funds by the John D. and Catherine T. MacArthur Foundation Law and Neuroscience Project. The study was conducted in collaboration with the New Mexico Corrections Department.

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Story Source:

The above story is reprinted from materials provided by Duke University, via EurekAlert!, a service of AAAS.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

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Journal Reference:

1. E. Aharoni, G. M. Vincent, C. L. Harenski, V. D. Calhoun, W. Sinnott-Armstrong, M. S. Gazzaniga, K. A. Kiehl. Neuroprediction of future rearrest. Proceedings of the National Academy of Sciences, 2013; DOI: 10.1073/pnas.1219302110

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

Source: http://feeds.sciencedaily.com/~r/sciencedaily/most_popular/~3/YKAt_BzzGdM/130328125319.htm

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